| Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks B Liang, H Su, L Gui, E Cambria, R Xu Knowledge-Based Systems 235, 107643, 2022 | 328 | 2022 |
| Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis B Liang, R Yin, L Gui, J Du, R Xu COLING 2020, 2020 | 88 | 2020 |
| Aspect-based sentiment analysis based on multi-attention CNN B Liang, Q Liu, J Xu, Q Zhou, P Zhang Journal of Computer Research and Development 54 (8), 1724-1735, 2017 | 66 | 2017 |
| Multi-modal sarcasm detection via cross-modal graph convolutional network B Liang, C Lou, X Li, M Yang, L Gui, Y He, W Pei, R Xu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 61 | 2022 |
| Target-adaptive Graph for Cross-target Stance Detection B Liang, Y Fu, L Gui, M Yang, J Du, Y He, R Xu WWW 2021, 2021 | 54 | 2021 |
| Zero-shot stance detection via contrastive learning B Liang, Z Chen, L Gui, Y He, M Yang, R Xu Proceedings of the ACM Web Conference 2022, 2738-2747, 2022 | 51 | 2022 |
| Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs B Liang, C Lou, X Li, L Gui, M Yang, R Xu ACM MM 2021, 2021 | 49 | 2021 |
| Context-aware embedding for targeted aspect-based sentiment analysis B Liang, J Du, R Xu, B Li, H Huang ACL 2019, 2019 | 48 | 2019 |
| Affective Dependency Graph for Sarcasm Detection C Lou*, B Liang*, L Gui, Y He, Y Dang, R Xu SIGIR 2021, 2021 | 44 | 2021 |
| Jointcl: A joint contrastive learning framework for zero-shot stance detection B Liang, Q Zhu, X Li, M Yang, L Gui, Y He, R Xu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 40 | 2022 |
| Large-scale bandit approaches for recommender systems Q Zhou, XF Zhang, J Xu, B Liang ICONIP 2018, 2017 | 37 | 2017 |
| Chinese micro-blog sentiment analysis based on multi-channels convolutional neural networks K Chen, B Liang, W Ke, B Xu, GC Zeng J. Comput. Res. Dev 55 (5), 945-957, 2018 | 34 | 2018 |
| 基于多注意力卷积神经网络的特定目标情感分析 梁斌， 刘全， 徐进， 周倩， 章鹏 计算机研究与发展 54 (8), 1724-1735, 2017 | 30 | 2017 |
| Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning B Liang, W Luo, X Li, L Gui, M Yang, X Yu, R Xu CIKM 2021, 2021 | 28 | 2021 |
| Few-shot aspect category sentiment analysis via meta-learning B Liang, X Li, L Gui, Y Fu, Y He, M Yang, R Xu ACM Transactions on Information Systems 41 (1), 1-31, 2023 | 27 | 2023 |
| Modeling intra-and inter-modal relations: Hierarchical graph contrastive learning for multimodal sentiment analysis Z Lin, B Liang, Y Long, Y Dang, M Yang, M Zhang, R Xu Proceedings of the 29th International Conference on Computational …, 2022 | 23 | 2022 |
| 基于多通道卷积神经网络的中文微博情感分析 陈珂， 梁斌， 柯文德， 许波， 曾国超 计算机研究与发展 55 (5), 945-957, 2018 | 21 | 2018 |
| Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge B Liang, H Su, R Yin, L Gui, M Yang, Q Zhao, X Yu, R Xu EMNLP 2021, 2021 | 20 | 2021 |
| Enhancing zero-shot stance detection via targeted background knowledge Q Zhu, B Liang, J Sun, J Du, L Zhou, R Xu Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 19 | 2022 |
| 一种用于基于方面情感分析的深度分层网络模型 刘全， 梁斌， 徐进， 周倩 计算机学报 41 (12), 2637-2652, 2018 | 19 | 2018 |
Ruifeng XuProfessor, Harbin Institute of Technology at ShenzhenVerified email at hit.edu.cn
